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This study examines the impact of the $60 billion tariff announcement of the US government on the Chinese exporting firms. In particular, it focuses on the firms whose revenues are highly dependent on the US economy.

This study uses an experimental analysis and the event study methodology. The sample includes firms listed in mainland China and Hong Kong Stock Exchanges that have the highest revenues from exporting to the USA. The data are obtained from China Stock Market and Accounting Research (CSMAR) and DataStream.

The authors find that the tariff announcement has significantly negative impacts on stock performance both before and after the announcement, and the impacts are heterogeneous across all sample firms. For A shares listed in Mainland China, firms with more revenues from the US experience greater price drops on the announcement day, regardless of being in the targeted industry or not. But such finding is absent from H shares listed in Hong Kong. The authors also find that for all the firms, greater pricing power can alleviate the impacts of the tariff announcement.

The results provide implications to investors, policymakers and regulators on the further US-China cooperation in the future.

This is the first study documenting the heterogeneity of the impact of the tariff announcement and thus contributes to the prosperous studies on the varied firm-level responses in the Chinese stock market, and to the burgeoning literature by filling the gap of the financial market responses to the protectionist policy announcement.

The purpose of this study is to synthesize the previous empirical studies on transactive memory systems (TMS) through a meta-analytical approach and test the proposed model for the relationships between TMS and different types of team outcomes.

TMS refers to shared memory systems developed among a group of people for encoding, storage and retrieval of their different knowledge domains. They have been widely used in group or organization settings to describe the cumulative knowledge in a group of multi-disciplinary experts. Previous literature suggests TMS as a critical concept for explaining group performance, but few studies were conducted to integrate the literature findings to identify the relationships between TMS and team outcomes.

The findings suggest that TMS is more strongly linked to affective outcomes than behavioral or performance outcomes. In addition, the authors find that the specific operationalization of TMS does not affect the relationship between TMS and team outcomes. There was not enough support for significant effects of group size and research setting on the relationships between TMS and team outcomes, which indicates that both laboratory and field studies have similar potential to generate valuable results for the research of TMS.

This study contributes to the body of knowledge on team effectiveness by investigating the links between TMS and team effectiveness through a broad definition of outcomes that include tangible constructs, such as performance, as well as behavioral and affective outcomes. By exploring the relationships through this broad conceptualization of team effectiveness, the authors can better understand the particular effects of TMS on different key aspects used to determine success in teams.

The purpose of this study is to analyse and discuss the influencing factors of user experience in university mobile libraries and the improvement path of user experience in the context of mobile learning.

The study adopted the grounded theory research method, and the sample included 28 students from five universities, with mobile libraries as the research objects and semi-structured interview as data acquisition method. A step-by-step coding analysis of the original interview materials was conducted, which comprehensively identified the main concerns and problems encountered by users of the university mobile library apps especially in the mobile learning behaviour mode, and then a theoretical model of the influencing factors of the app user experience of the university mobile library was constructed.

A theoretical model of influencing factors was constructed, which determined that system quality, interaction quality, content quality, interface quality and function quality were the key elements of mobile library user experiences. Furthermore, based on the research results and user feedback obtained in the research process, the content and key points relating to the user experience can be elaborated in detail. In addition, this study was able to determine users' perspectives and their behavioural characteristics when engaging in mobile learning.

This study establishes a theoretical model of the factors influencing of the user experience of university mobile libraries based on mobile learning, which could provide a valuable reference for the design of other programs and strategies to promote user learning experiences of mobile library app in colleges and universities.